วีดีโอ

normal correlation analysis

a basic overview of normal regression analysis

regression analysis basics

likelihood ratio test and the t-distribution

Introduction to using likelihood ratio tests

Likelihood ratio tests for composite hypotheses

The power function of a test of composite hypotheses

Working an example with using the Neyman-Pearson Lemma to find test statistics and most powerful critical regions. This is a replacement of a previous video with the same name, where I messed up the direction of some inequalities!

Most powerful regions in tests of hypothesis and the Neyman-Pearson Lemma

More examples of hypothesis testing

An overview of the basic idea of hypothesis testing in statistics illustrated with examples

Introduction to hypothesis testing

An overview of Bayesian estimation of parameters, with some digressions

An introduction to maximum likelihood estimators

Mathematical Statistics, Lecture 14.3: Detour: Jensen's inequality

Mathematical Statistics, Lecture 14.2: the method of moments

Mathematical Statistics, Lecture 14: how do we find estimators?

Mathematical Statistics, Lecture 13: sufficient estimators

Mathematical Statistics, Lecture 12: consistent estimatorrs

Mathematical Statistics, Lecture 11, part 2: Efficiency of unbiased estimators

Mathematical Statistics, lecture 11, part 1: Unbiased point estimators

Mathematical Statistics, Supplemental Lecture 10.2

Mathematical Statistics, Supplemental Lecture 10.1

Mathematical Statistics, Supplemental Lecture 10.3

Mathematical Statistics, Lecture 10: the f-distribution

Mathematical Statistics, Lecture 9: the t-distribution

Mathematical Statistics, Lecture 8.5

Mathematical Statistics, Lecture 8: normal approximation for chi-square for large n

Mathematical Statistics, Lecture 7: confidence intervals for population variance